Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Identifying key risk factors for depressive symptoms in children and adolescents is crucial for prevention. However, few studies have explored this topic. This study aimed to examine the prevalence of depressive symptoms in Chinese children and adolescents and rank prominent risk factors.
Students' 'mindset' (self-beliefs and attitudes toward their abilities) can impact academic achievement, with those possessing a growth mindset more likely to succeed. It has been postulated that students with a growth mindset, who believe they can improve their abilities through dedication, effort, and learning may have deeper intentions when learning, thereby enabling a deeper understanding. How...
This study presents a novel diagnostic platform for the rapid and non-invasive detection of neonatal calf diarrhea using ATR-FTIR spectroscopy combine...
AIM: To analyze the characteristics of pediatric facial trauma and predict factors influencing them through machine learning algorithms.
Bacterial growth to high cell densities is commonly observed in infections, microbiomes, and biomanufacturing, yet there is limited understanding of h...
Text mining has emerged as a powerful strategy for extracting domain knowledge structure from large amounts of text data. To date, most text mining me...
BACKGROUND: Epidemiological studies on idiopathic nephrotic syndrome (INS) in children have identified no definitive factors predicting steroid-resist...
Crop phenotyping encompasses methodologies for measuring plant growth, architecture, and composition with high precision across scales, from organs to...
BACKGROUND AND AIMS: Fecal calprotectin (FCP) has limited specificity as diagnostic biomarker of pediatric inflammatory bowel disease (IBD), leading t...
Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccurate species identification and prolonged turnarou...
Identifying critically ill newborns who will benefit from whole genome sequencing (WGS) is difficult and time-consuming due to complex eligibility cri...
Neuroblastoma is a common pediatric cancer that affects thousands of infants worldwide, especially children under five years of age. Although recovery...
To develop and validate a machine learning prediction model for 28-day all-cause mortality in patients with alcoholic cirrhosis using data from the MI...
Cervical cancer remains a leading cause of cancer-related death among women globally, despite the availability of effective prevention through human p...
OBJECTIVE: This study aims to determine the diagnostic performance of sub-5-min combined sixfold parallel imaging (PIx3)-simultaneous multislice (SMSx...
Artificial intelligence (AI) 's rapid advancement presents opportunities and challenges for achieving sustainable development goals. In particular, un...
Global climate change exacerbates drought stress, severely affecting plant growth, agricultural productivity, and the biosynthesis of secondary metabo...
Amblyopia is a neurodevelopmental disorder affecting children's visual acuity, requiring early diagnosis for effective treatment. Traditional diagnost...
BACKGROUND: Given the increasing prevalence of mental health problems among adolescents, early intervention and appropriate management are needed to d...
BACKGROUND: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, is increasingly studied in healthcare. This study...